Average TLE for each genotype at each nursery
Specific growth rates of each genotype at each nursery
## coral_id = 100*:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.033192e-03 0.002012710 1112.68 -1.010 0.7435
## BIM - CEI -5.275326e-03 0.001767457 1228.41 -2.985 0.0153
## BIM - CAT -4.604430e-03 0.001909909 1004.76 -2.411 0.0757
## NAS - CEI -3.242134e-03 0.001288704 565.02 -2.516 0.0586
## NAS - CAT -2.571238e-03 0.001478042 437.87 -1.740 0.3044
## CEI - CAT 6.708958e-04 0.001121386 322.76 0.598 0.9325
##
## coral_id = 101*:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -6.011276e-03 0.002157326 1183.96 -2.786 0.0277
## BIM - CEI -8.541967e-03 0.001930532 1293.68 -4.425 0.0001
## BIM - CAT -8.238266e-03 0.002060405 1095.77 -3.998 0.0004
## NAS - CEI -2.530691e-03 0.001288704 565.02 -1.964 0.2031
## NAS - CAT -2.226990e-03 0.001476169 435.71 -1.509 0.4332
## CEI - CAT 3.037014e-04 0.001118916 319.83 0.271 0.9930
##
## coral_id = 125:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -5.372794e-03 0.002012710 1112.68 -2.669 0.0385
## BIM - CEI -8.639377e-03 0.001767457 1228.41 -4.888 <.0001
## BIM - CAT -8.737047e-03 0.001908460 1003.16 -4.578 <.0001
## NAS - CEI -3.266583e-03 0.001288704 565.02 -2.535 0.0558
## NAS - CAT -3.364253e-03 0.001476169 435.71 -2.279 0.1045
## CEI - CAT -9.766998e-05 0.001118916 319.83 -0.087 0.9998
##
## coral_id = 126*:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.628072e-03 0.002012710 1112.68 -1.306 0.5594
## BIM - CEI -4.520036e-03 0.001767457 1228.41 -2.557 0.0520
## BIM - CAT -4.316095e-03 0.001908460 1003.16 -2.262 0.1079
## NAS - CEI -1.891964e-03 0.001288704 565.02 -1.468 0.4576
## NAS - CAT -1.688023e-03 0.001476169 435.71 -1.144 0.6628
## CEI - CAT 2.039408e-04 0.001118916 319.83 0.182 0.9978
##
## coral_id = 133:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -7.473825e-03 0.002012710 1112.68 -3.713 0.0012
## BIM - CEI -1.210872e-02 0.001767457 1228.41 -6.851 <.0001
## BIM - CAT -6.650056e-03 0.001908460 1003.16 -3.485 0.0029
## NAS - CEI -4.634894e-03 0.001288704 565.02 -3.597 0.0020
## NAS - CAT 8.237699e-04 0.001476169 435.71 0.558 0.9443
## CEI - CAT 5.458664e-03 0.001118916 319.83 4.879 <.0001
##
## coral_id = 134:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -4.623339e-03 0.002012710 1112.68 -2.297 0.0993
## BIM - CEI -7.687183e-03 0.001767457 1228.41 -4.349 0.0001
## BIM - CAT -1.600788e-03 0.001908460 1003.16 -0.839 0.8360
## NAS - CEI -3.063844e-03 0.001288704 565.02 -2.377 0.0826
## NAS - CAT 3.022551e-03 0.001476169 435.71 2.048 0.1723
## CEI - CAT 6.086395e-03 0.001118916 319.83 5.440 <.0001
##
## coral_id = 42:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.453453e-03 0.002378894 1257.61 -1.031 0.7311
## BIM - CEI -3.459071e-03 0.002175325 1344.69 -1.590 0.3846
## BIM - CAT -3.075479e-03 0.002291365 1194.37 -1.342 0.5361
## NAS - CEI -1.005618e-03 0.001288704 565.02 -0.780 0.8634
## NAS - CAT -6.220260e-04 0.001476169 435.71 -0.421 0.9748
## CEI - CAT 3.835923e-04 0.001118916 319.83 0.343 0.9861
##
## coral_id = 43:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -5.816761e-03 0.002012710 1112.68 -2.890 0.0205
## BIM - CEI -8.109500e-03 0.001804798 1197.32 -4.493 <.0001
## BIM - CAT -1.051001e-02 0.001908460 1003.16 -5.507 <.0001
## NAS - CEI -2.292739e-03 0.001339459 554.84 -1.712 0.3185
## NAS - CAT -4.693254e-03 0.001476169 435.71 -3.179 0.0086
## CEI - CAT -2.400514e-03 0.001177016 329.66 -2.039 0.1757
##
## coral_id = 44:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -3.847552e-03 0.002012710 1112.68 -1.912 0.2237
## BIM - CEI -6.570596e-03 0.001767457 1228.41 -3.718 0.0012
## BIM - CAT -6.399821e-03 0.001908460 1003.16 -3.353 0.0046
## NAS - CEI -2.723044e-03 0.001288704 565.02 -2.113 0.1502
## NAS - CAT -2.552270e-03 0.001476169 435.71 -1.729 0.3099
## CEI - CAT 1.707746e-04 0.001118916 319.83 0.153 0.9987
##
## coral_id = 45:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -3.134460e-03 0.002157326 1183.96 -1.453 0.4666
## BIM - CEI -5.408266e-03 0.001930532 1293.68 -2.801 0.0265
## BIM - CAT -3.818640e-03 0.002060405 1095.77 -1.853 0.2491
## NAS - CEI -2.273806e-03 0.001288704 565.02 -1.764 0.2917
## NAS - CAT -6.841797e-04 0.001476169 435.71 -0.463 0.9669
## CEI - CAT 1.589626e-03 0.001118916 319.83 1.421 0.4873
##
## coral_id = 49:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.003768e-03 0.002012710 1112.68 -0.996 0.7520
## BIM - CEI -5.830843e-03 0.001774853 1222.36 -3.285 0.0058
## BIM - CAT -4.239750e-03 0.001908460 1003.16 -2.222 0.1181
## NAS - CEI -3.827076e-03 0.001298830 562.87 -2.947 0.0176
## NAS - CAT -2.235982e-03 0.001476169 435.71 -1.515 0.4295
## CEI - CAT 1.591094e-03 0.001130564 321.89 1.407 0.4956
##
## coral_id = 51:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -1.849198e-03 0.002012710 1112.68 -0.919 0.7948
## BIM - CEI -1.482566e-03 0.001767457 1228.41 -0.839 0.8359
## BIM - CAT -2.998129e-03 0.001908460 1003.16 -1.571 0.3958
## NAS - CEI 3.666326e-04 0.001288704 565.02 0.284 0.9920
## NAS - CAT -1.148930e-03 0.001476169 435.71 -0.778 0.8643
## CEI - CAT -1.515563e-03 0.001118916 319.83 -1.354 0.5289
##
## coral_id = 52:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -6.127458e-03 0.002012710 1112.68 -3.044 0.0127
## BIM - CEI -6.070006e-03 0.001767457 1228.41 -3.434 0.0034
## BIM - CAT -5.838338e-03 0.001908460 1003.16 -3.059 0.0122
## NAS - CEI 5.745148e-05 0.001288704 565.02 0.045 1.0000
## NAS - CAT 2.891196e-04 0.001476169 435.71 0.196 0.9973
## CEI - CAT 2.316682e-04 0.001118916 319.83 0.207 0.9969
##
## coral_id = 53:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -1.622877e-03 0.002012710 1112.68 -0.806 0.8515
## BIM - CEI -2.285055e-03 0.001767457 1228.41 -1.293 0.5677
## BIM - CAT -3.422904e-04 0.001908460 1003.16 -0.179 0.9980
## NAS - CEI -6.621783e-04 0.001288704 565.02 -0.514 0.9558
## NAS - CAT 1.280586e-03 0.001476169 435.71 0.868 0.8216
## CEI - CAT 1.942764e-03 0.001118916 319.83 1.736 0.3066
##
## coral_id = 54:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.480340e-03 0.002012710 1112.68 -1.232 0.6064
## BIM - CEI -1.029240e-03 0.001767457 1228.41 -0.582 0.9374
## BIM - CAT -2.113925e-03 0.001908460 1003.16 -1.108 0.6849
## NAS - CEI 1.451100e-03 0.001288704 565.02 1.126 0.6736
## NAS - CAT 3.664155e-04 0.001476169 435.71 0.248 0.9946
## CEI - CAT -1.084685e-03 0.001118916 319.83 -0.969 0.7670
##
## coral_id = 55:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -3.443171e-03 0.002012710 1112.68 -1.711 0.3185
## BIM - CEI -4.557350e-03 0.001767457 1228.41 -2.578 0.0492
## BIM - CAT -4.181205e-03 0.001908460 1003.16 -2.191 0.1264
## NAS - CEI -1.114179e-03 0.001288704 565.02 -0.865 0.8231
## NAS - CAT -7.380334e-04 0.001476169 435.71 -0.500 0.9590
## CEI - CAT 3.761456e-04 0.001118916 319.83 0.336 0.9869
##
## coral_id = 94:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -6.464016e-03 0.002012710 1112.68 -3.212 0.0074
## BIM - CEI -4.192770e-03 0.001767457 1228.41 -2.372 0.0830
## BIM - CAT -2.390136e-03 0.001908460 1003.16 -1.252 0.5936
## NAS - CEI 2.271246e-03 0.001288704 565.02 1.762 0.2927
## NAS - CAT 4.073880e-03 0.001476169 435.71 2.760 0.0306
## CEI - CAT 1.802634e-03 0.001118916 319.83 1.611 0.3738
##
## coral_id = 95:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.949164e-03 0.002012710 1112.68 -1.465 0.4590
## BIM - CEI -4.120689e-03 0.001773336 1229.64 -2.324 0.0932
## BIM - CAT -9.607434e-04 0.001908460 1003.16 -0.503 0.9583
## NAS - CEI -1.171526e-03 0.001296756 572.66 -0.903 0.8030
## NAS - CAT 1.988420e-03 0.001476169 435.71 1.347 0.5335
## CEI - CAT 3.159946e-03 0.001128181 327.57 2.801 0.0275
##
## coral_id = 96:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -7.005596e-03 0.002012710 1112.68 -3.481 0.0029
## BIM - CEI -6.620238e-03 0.001767457 1228.41 -3.746 0.0011
## BIM - CAT -4.099512e-03 0.001908460 1003.16 -2.148 0.1388
## NAS - CEI 3.853579e-04 0.001288704 565.02 0.299 0.9907
## NAS - CAT 2.906084e-03 0.001476169 435.71 1.969 0.2015
## CEI - CAT 2.520726e-03 0.001118916 319.83 2.253 0.1115
##
## P value adjustment: tukey method for comparing a family of 4 estimates
## coral_id = 100*:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.033192e-03 0.002012710 1112.68 -1.010 0.7435
## BIM - CEI -5.275326e-03 0.001767457 1228.41 -2.985 0.0153
## BIM - CAT -4.604430e-03 0.001909909 1004.76 -2.411 0.0757
## NAS - CEI -3.242134e-03 0.001288704 565.02 -2.516 0.0586
## NAS - CAT -2.571238e-03 0.001478042 437.87 -1.740 0.3044
## CEI - CAT 6.708958e-04 0.001121386 322.76 0.598 0.9325
##
## coral_id = 101*:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -6.011276e-03 0.002157326 1183.96 -2.786 0.0277
## BIM - CEI -8.541967e-03 0.001930532 1293.68 -4.425 0.0001
## BIM - CAT -8.238266e-03 0.002060405 1095.77 -3.998 0.0004
## NAS - CEI -2.530691e-03 0.001288704 565.02 -1.964 0.2031
## NAS - CAT -2.226990e-03 0.001476169 435.71 -1.509 0.4332
## CEI - CAT 3.037014e-04 0.001118916 319.83 0.271 0.9930
##
## coral_id = 125:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -5.372794e-03 0.002012710 1112.68 -2.669 0.0385
## BIM - CEI -8.639377e-03 0.001767457 1228.41 -4.888 <.0001
## BIM - CAT -8.737047e-03 0.001908460 1003.16 -4.578 <.0001
## NAS - CEI -3.266583e-03 0.001288704 565.02 -2.535 0.0558
## NAS - CAT -3.364253e-03 0.001476169 435.71 -2.279 0.1045
## CEI - CAT -9.766998e-05 0.001118916 319.83 -0.087 0.9998
##
## coral_id = 126*:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.628072e-03 0.002012710 1112.68 -1.306 0.5594
## BIM - CEI -4.520036e-03 0.001767457 1228.41 -2.557 0.0520
## BIM - CAT -4.316095e-03 0.001908460 1003.16 -2.262 0.1079
## NAS - CEI -1.891964e-03 0.001288704 565.02 -1.468 0.4576
## NAS - CAT -1.688023e-03 0.001476169 435.71 -1.144 0.6628
## CEI - CAT 2.039408e-04 0.001118916 319.83 0.182 0.9978
##
## coral_id = 133:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -7.473825e-03 0.002012710 1112.68 -3.713 0.0012
## BIM - CEI -1.210872e-02 0.001767457 1228.41 -6.851 <.0001
## BIM - CAT -6.650056e-03 0.001908460 1003.16 -3.485 0.0029
## NAS - CEI -4.634894e-03 0.001288704 565.02 -3.597 0.0020
## NAS - CAT 8.237699e-04 0.001476169 435.71 0.558 0.9443
## CEI - CAT 5.458664e-03 0.001118916 319.83 4.879 <.0001
##
## coral_id = 134:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -4.623339e-03 0.002012710 1112.68 -2.297 0.0993
## BIM - CEI -7.687183e-03 0.001767457 1228.41 -4.349 0.0001
## BIM - CAT -1.600788e-03 0.001908460 1003.16 -0.839 0.8360
## NAS - CEI -3.063844e-03 0.001288704 565.02 -2.377 0.0826
## NAS - CAT 3.022551e-03 0.001476169 435.71 2.048 0.1723
## CEI - CAT 6.086395e-03 0.001118916 319.83 5.440 <.0001
##
## coral_id = 42:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.453453e-03 0.002378894 1257.61 -1.031 0.7311
## BIM - CEI -3.459071e-03 0.002175325 1344.69 -1.590 0.3846
## BIM - CAT -3.075479e-03 0.002291365 1194.37 -1.342 0.5361
## NAS - CEI -1.005618e-03 0.001288704 565.02 -0.780 0.8634
## NAS - CAT -6.220260e-04 0.001476169 435.71 -0.421 0.9748
## CEI - CAT 3.835923e-04 0.001118916 319.83 0.343 0.9861
##
## coral_id = 43:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -5.816761e-03 0.002012710 1112.68 -2.890 0.0205
## BIM - CEI -8.109500e-03 0.001804798 1197.32 -4.493 <.0001
## BIM - CAT -1.051001e-02 0.001908460 1003.16 -5.507 <.0001
## NAS - CEI -2.292739e-03 0.001339459 554.84 -1.712 0.3185
## NAS - CAT -4.693254e-03 0.001476169 435.71 -3.179 0.0086
## CEI - CAT -2.400514e-03 0.001177016 329.66 -2.039 0.1757
##
## coral_id = 44:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -3.847552e-03 0.002012710 1112.68 -1.912 0.2237
## BIM - CEI -6.570596e-03 0.001767457 1228.41 -3.718 0.0012
## BIM - CAT -6.399821e-03 0.001908460 1003.16 -3.353 0.0046
## NAS - CEI -2.723044e-03 0.001288704 565.02 -2.113 0.1502
## NAS - CAT -2.552270e-03 0.001476169 435.71 -1.729 0.3099
## CEI - CAT 1.707746e-04 0.001118916 319.83 0.153 0.9987
##
## coral_id = 45:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -3.134460e-03 0.002157326 1183.96 -1.453 0.4666
## BIM - CEI -5.408266e-03 0.001930532 1293.68 -2.801 0.0265
## BIM - CAT -3.818640e-03 0.002060405 1095.77 -1.853 0.2491
## NAS - CEI -2.273806e-03 0.001288704 565.02 -1.764 0.2917
## NAS - CAT -6.841797e-04 0.001476169 435.71 -0.463 0.9669
## CEI - CAT 1.589626e-03 0.001118916 319.83 1.421 0.4873
##
## coral_id = 49:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.003768e-03 0.002012710 1112.68 -0.996 0.7520
## BIM - CEI -5.830843e-03 0.001774853 1222.36 -3.285 0.0058
## BIM - CAT -4.239750e-03 0.001908460 1003.16 -2.222 0.1181
## NAS - CEI -3.827076e-03 0.001298830 562.87 -2.947 0.0176
## NAS - CAT -2.235982e-03 0.001476169 435.71 -1.515 0.4295
## CEI - CAT 1.591094e-03 0.001130564 321.89 1.407 0.4956
##
## coral_id = 51:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -1.849198e-03 0.002012710 1112.68 -0.919 0.7948
## BIM - CEI -1.482566e-03 0.001767457 1228.41 -0.839 0.8359
## BIM - CAT -2.998129e-03 0.001908460 1003.16 -1.571 0.3958
## NAS - CEI 3.666326e-04 0.001288704 565.02 0.284 0.9920
## NAS - CAT -1.148930e-03 0.001476169 435.71 -0.778 0.8643
## CEI - CAT -1.515563e-03 0.001118916 319.83 -1.354 0.5289
##
## coral_id = 52:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -6.127458e-03 0.002012710 1112.68 -3.044 0.0127
## BIM - CEI -6.070006e-03 0.001767457 1228.41 -3.434 0.0034
## BIM - CAT -5.838338e-03 0.001908460 1003.16 -3.059 0.0122
## NAS - CEI 5.745148e-05 0.001288704 565.02 0.045 1.0000
## NAS - CAT 2.891196e-04 0.001476169 435.71 0.196 0.9973
## CEI - CAT 2.316682e-04 0.001118916 319.83 0.207 0.9969
##
## coral_id = 53:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -1.622877e-03 0.002012710 1112.68 -0.806 0.8515
## BIM - CEI -2.285055e-03 0.001767457 1228.41 -1.293 0.5677
## BIM - CAT -3.422904e-04 0.001908460 1003.16 -0.179 0.9980
## NAS - CEI -6.621783e-04 0.001288704 565.02 -0.514 0.9558
## NAS - CAT 1.280586e-03 0.001476169 435.71 0.868 0.8216
## CEI - CAT 1.942764e-03 0.001118916 319.83 1.736 0.3066
##
## coral_id = 54:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.480340e-03 0.002012710 1112.68 -1.232 0.6064
## BIM - CEI -1.029240e-03 0.001767457 1228.41 -0.582 0.9374
## BIM - CAT -2.113925e-03 0.001908460 1003.16 -1.108 0.6849
## NAS - CEI 1.451100e-03 0.001288704 565.02 1.126 0.6736
## NAS - CAT 3.664155e-04 0.001476169 435.71 0.248 0.9946
## CEI - CAT -1.084685e-03 0.001118916 319.83 -0.969 0.7670
##
## coral_id = 55:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -3.443171e-03 0.002012710 1112.68 -1.711 0.3185
## BIM - CEI -4.557350e-03 0.001767457 1228.41 -2.578 0.0492
## BIM - CAT -4.181205e-03 0.001908460 1003.16 -2.191 0.1264
## NAS - CEI -1.114179e-03 0.001288704 565.02 -0.865 0.8231
## NAS - CAT -7.380334e-04 0.001476169 435.71 -0.500 0.9590
## CEI - CAT 3.761456e-04 0.001118916 319.83 0.336 0.9869
##
## coral_id = 94:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -6.464016e-03 0.002012710 1112.68 -3.212 0.0074
## BIM - CEI -4.192770e-03 0.001767457 1228.41 -2.372 0.0830
## BIM - CAT -2.390136e-03 0.001908460 1003.16 -1.252 0.5936
## NAS - CEI 2.271246e-03 0.001288704 565.02 1.762 0.2927
## NAS - CAT 4.073880e-03 0.001476169 435.71 2.760 0.0306
## CEI - CAT 1.802634e-03 0.001118916 319.83 1.611 0.3738
##
## coral_id = 95:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -2.949164e-03 0.002012710 1112.68 -1.465 0.4590
## BIM - CEI -4.120689e-03 0.001773336 1229.64 -2.324 0.0932
## BIM - CAT -9.607434e-04 0.001908460 1003.16 -0.503 0.9583
## NAS - CEI -1.171526e-03 0.001296756 572.66 -0.903 0.8030
## NAS - CAT 1.988420e-03 0.001476169 435.71 1.347 0.5335
## CEI - CAT 3.159946e-03 0.001128181 327.57 2.801 0.0275
##
## coral_id = 96:
## contrast estimate SE df t.ratio p.value
## BIM - NAS -7.005596e-03 0.002012710 1112.68 -3.481 0.0029
## BIM - CEI -6.620238e-03 0.001767457 1228.41 -3.746 0.0011
## BIM - CAT -4.099512e-03 0.001908460 1003.16 -2.148 0.1388
## NAS - CEI 3.853579e-04 0.001288704 565.02 0.299 0.9907
## NAS - CAT 2.906084e-03 0.001476169 435.71 1.969 0.2015
## CEI - CAT 2.520726e-03 0.001118916 319.83 2.253 0.1115
##
## P value adjustment: tukey method for comparing a family of 4 estimates
## coral_id = 100*:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -5.275326e-03 0.001767457 1228.41 -2.985 0.0153 12
## BIM - CAT -4.604430e-03 0.001909909 1004.76 -2.411 0.0757 1
## NAS - CEI -3.242134e-03 0.001288704 565.02 -2.516 0.0586 12
## NAS - CAT -2.571238e-03 0.001478042 437.87 -1.740 0.3044 12
## BIM - NAS -2.033192e-03 0.002012710 1112.68 -1.010 0.7435 12
## CEI - CAT 6.708958e-04 0.001121386 322.76 0.598 0.9325 2
##
## coral_id = 101*:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -8.541967e-03 0.001930532 1293.68 -4.425 0.0001 1
## BIM - CAT -8.238266e-03 0.002060405 1095.77 -3.998 0.0004 1
## BIM - NAS -6.011276e-03 0.002157326 1183.96 -2.786 0.0277 12
## NAS - CEI -2.530691e-03 0.001288704 565.02 -1.964 0.2031 12
## NAS - CAT -2.226990e-03 0.001476169 435.71 -1.509 0.4332 12
## CEI - CAT 3.037014e-04 0.001118916 319.83 0.271 0.9930 2
##
## coral_id = 125:
## contrast estimate SE df t.ratio p.value .group
## BIM - CAT -8.737047e-03 0.001908460 1003.16 -4.578 <.0001 1
## BIM - CEI -8.639377e-03 0.001767457 1228.41 -4.888 <.0001 1
## BIM - NAS -5.372794e-03 0.002012710 1112.68 -2.669 0.0385 12
## NAS - CAT -3.364253e-03 0.001476169 435.71 -2.279 0.1045 12
## NAS - CEI -3.266583e-03 0.001288704 565.02 -2.535 0.0558 12
## CEI - CAT -9.766998e-05 0.001118916 319.83 -0.087 0.9998 2
##
## coral_id = 126*:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -4.520036e-03 0.001767457 1228.41 -2.557 0.0520 1
## BIM - CAT -4.316095e-03 0.001908460 1003.16 -2.262 0.1079 1
## BIM - NAS -2.628072e-03 0.002012710 1112.68 -1.306 0.5594 1
## NAS - CEI -1.891964e-03 0.001288704 565.02 -1.468 0.4576 1
## NAS - CAT -1.688023e-03 0.001476169 435.71 -1.144 0.6628 1
## CEI - CAT 2.039408e-04 0.001118916 319.83 0.182 0.9978 1
##
## coral_id = 133:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -1.210872e-02 0.001767457 1228.41 -6.851 <.0001 1
## BIM - NAS -7.473825e-03 0.002012710 1112.68 -3.713 0.0012 23
## BIM - CAT -6.650056e-03 0.001908460 1003.16 -3.485 0.0029 2
## NAS - CEI -4.634894e-03 0.001288704 565.02 -3.597 0.0020 2
## NAS - CAT 8.237699e-04 0.001476169 435.71 0.558 0.9443 3
## CEI - CAT 5.458664e-03 0.001118916 319.83 4.879 <.0001 4
##
## coral_id = 134:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -7.687183e-03 0.001767457 1228.41 -4.349 0.0001 1
## BIM - NAS -4.623339e-03 0.002012710 1112.68 -2.297 0.0993 123
## NAS - CEI -3.063844e-03 0.001288704 565.02 -2.377 0.0826 12
## BIM - CAT -1.600788e-03 0.001908460 1003.16 -0.839 0.8360 23
## NAS - CAT 3.022551e-03 0.001476169 435.71 2.048 0.1723 34
## CEI - CAT 6.086395e-03 0.001118916 319.83 5.440 <.0001 4
##
## coral_id = 42:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -3.459071e-03 0.002175325 1344.69 -1.590 0.3846 1
## BIM - CAT -3.075479e-03 0.002291365 1194.37 -1.342 0.5361 1
## BIM - NAS -2.453453e-03 0.002378894 1257.61 -1.031 0.7311 1
## NAS - CEI -1.005618e-03 0.001288704 565.02 -0.780 0.8634 1
## NAS - CAT -6.220260e-04 0.001476169 435.71 -0.421 0.9748 1
## CEI - CAT 3.835923e-04 0.001118916 319.83 0.343 0.9861 1
##
## coral_id = 43:
## contrast estimate SE df t.ratio p.value .group
## BIM - CAT -1.051001e-02 0.001908460 1003.16 -5.507 <.0001 1
## BIM - CEI -8.109500e-03 0.001804798 1197.32 -4.493 <.0001 12
## BIM - NAS -5.816761e-03 0.002012710 1112.68 -2.890 0.0205 23
## NAS - CAT -4.693254e-03 0.001476169 435.71 -3.179 0.0086 23
## CEI - CAT -2.400514e-03 0.001177016 329.66 -2.039 0.1757 23
## NAS - CEI -2.292739e-03 0.001339459 554.84 -1.712 0.3185 3
##
## coral_id = 44:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -6.570596e-03 0.001767457 1228.41 -3.718 0.0012 1
## BIM - CAT -6.399821e-03 0.001908460 1003.16 -3.353 0.0046 1
## BIM - NAS -3.847552e-03 0.002012710 1112.68 -1.912 0.2237 12
## NAS - CEI -2.723044e-03 0.001288704 565.02 -2.113 0.1502 12
## NAS - CAT -2.552270e-03 0.001476169 435.71 -1.729 0.3099 12
## CEI - CAT 1.707746e-04 0.001118916 319.83 0.153 0.9987 2
##
## coral_id = 45:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -5.408266e-03 0.001930532 1293.68 -2.801 0.0265 1
## BIM - CAT -3.818640e-03 0.002060405 1095.77 -1.853 0.2491 12
## BIM - NAS -3.134460e-03 0.002157326 1183.96 -1.453 0.4666 12
## NAS - CEI -2.273806e-03 0.001288704 565.02 -1.764 0.2917 12
## NAS - CAT -6.841797e-04 0.001476169 435.71 -0.463 0.9669 12
## CEI - CAT 1.589626e-03 0.001118916 319.83 1.421 0.4873 2
##
## coral_id = 49:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -5.830843e-03 0.001774853 1222.36 -3.285 0.0058 1
## BIM - CAT -4.239750e-03 0.001908460 1003.16 -2.222 0.1181 12
## NAS - CEI -3.827076e-03 0.001298830 562.87 -2.947 0.0176 123
## NAS - CAT -2.235982e-03 0.001476169 435.71 -1.515 0.4295 12
## BIM - NAS -2.003768e-03 0.002012710 1112.68 -0.996 0.7520 23
## CEI - CAT 1.591094e-03 0.001130564 321.89 1.407 0.4956 3
##
## coral_id = 51:
## contrast estimate SE df t.ratio p.value .group
## BIM - CAT -2.998129e-03 0.001908460 1003.16 -1.571 0.3958 1
## BIM - NAS -1.849198e-03 0.002012710 1112.68 -0.919 0.7948 1
## CEI - CAT -1.515563e-03 0.001118916 319.83 -1.354 0.5289 1
## BIM - CEI -1.482566e-03 0.001767457 1228.41 -0.839 0.8359 1
## NAS - CAT -1.148930e-03 0.001476169 435.71 -0.778 0.8643 1
## NAS - CEI 3.666326e-04 0.001288704 565.02 0.284 0.9920 1
##
## coral_id = 52:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -6.127458e-03 0.002012710 1112.68 -3.044 0.0127 1234
## BIM - CEI -6.070006e-03 0.001767457 1228.41 -3.434 0.0034 12
## BIM - CAT -5.838338e-03 0.001908460 1003.16 -3.059 0.0122 1 3
## NAS - CEI 5.745148e-05 0.001288704 565.02 0.045 1.0000 34
## CEI - CAT 2.316682e-04 0.001118916 319.83 0.207 0.9969 2 4
## NAS - CAT 2.891196e-04 0.001476169 435.71 0.196 0.9973 2 4
##
## coral_id = 53:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -2.285055e-03 0.001767457 1228.41 -1.293 0.5677 1
## BIM - NAS -1.622877e-03 0.002012710 1112.68 -0.806 0.8515 1
## NAS - CEI -6.621783e-04 0.001288704 565.02 -0.514 0.9558 1
## BIM - CAT -3.422904e-04 0.001908460 1003.16 -0.179 0.9980 1
## NAS - CAT 1.280586e-03 0.001476169 435.71 0.868 0.8216 1
## CEI - CAT 1.942764e-03 0.001118916 319.83 1.736 0.3066 1
##
## coral_id = 54:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -2.480340e-03 0.002012710 1112.68 -1.232 0.6064 1
## BIM - CAT -2.113925e-03 0.001908460 1003.16 -1.108 0.6849 1
## CEI - CAT -1.084685e-03 0.001118916 319.83 -0.969 0.7670 1
## BIM - CEI -1.029240e-03 0.001767457 1228.41 -0.582 0.9374 1
## NAS - CAT 3.664155e-04 0.001476169 435.71 0.248 0.9946 1
## NAS - CEI 1.451100e-03 0.001288704 565.02 1.126 0.6736 1
##
## coral_id = 55:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -4.557350e-03 0.001767457 1228.41 -2.578 0.0492 1
## BIM - CAT -4.181205e-03 0.001908460 1003.16 -2.191 0.1264 1
## BIM - NAS -3.443171e-03 0.002012710 1112.68 -1.711 0.3185 1
## NAS - CEI -1.114179e-03 0.001288704 565.02 -0.865 0.8231 1
## NAS - CAT -7.380334e-04 0.001476169 435.71 -0.500 0.9590 1
## CEI - CAT 3.761456e-04 0.001118916 319.83 0.336 0.9869 1
##
## coral_id = 94:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -6.464016e-03 0.002012710 1112.68 -3.212 0.0074 1
## BIM - CEI -4.192770e-03 0.001767457 1228.41 -2.372 0.0830 12
## BIM - CAT -2.390136e-03 0.001908460 1003.16 -1.252 0.5936 123
## CEI - CAT 1.802634e-03 0.001118916 319.83 1.611 0.3738 234
## NAS - CEI 2.271246e-03 0.001288704 565.02 1.762 0.2927 34
## NAS - CAT 4.073880e-03 0.001476169 435.71 2.760 0.0306 4
##
## coral_id = 95:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -4.120689e-03 0.001773336 1229.64 -2.324 0.0932 1
## BIM - NAS -2.949164e-03 0.002012710 1112.68 -1.465 0.4590 12
## NAS - CEI -1.171526e-03 0.001296756 572.66 -0.903 0.8030 12
## BIM - CAT -9.607434e-04 0.001908460 1003.16 -0.503 0.9583 12
## NAS - CAT 1.988420e-03 0.001476169 435.71 1.347 0.5335 12
## CEI - CAT 3.159946e-03 0.001128181 327.57 2.801 0.0275 2
##
## coral_id = 96:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -7.005596e-03 0.002012710 1112.68 -3.481 0.0029 12
## BIM - CEI -6.620238e-03 0.001767457 1228.41 -3.746 0.0011 1
## BIM - CAT -4.099512e-03 0.001908460 1003.16 -2.148 0.1388 12
## NAS - CEI 3.853579e-04 0.001288704 565.02 0.299 0.9907 23
## CEI - CAT 2.520726e-03 0.001118916 319.83 2.253 0.1115 3
## NAS - CAT 2.906084e-03 0.001476169 435.71 1.969 0.2015 3
##
## P value adjustment: tukey method for comparing a family of 4 estimates
## P value adjustment: tukey method for comparing a family of 6 estimates
## significance level used: alpha = 0.05
## coral_id = 100*:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -5.275326e-03 0.001767457 1228.41 -2.985 0.0153 12
## BIM - CAT -4.604430e-03 0.001909909 1004.76 -2.411 0.0757 1
## NAS - CEI -3.242134e-03 0.001288704 565.02 -2.516 0.0586 12
## NAS - CAT -2.571238e-03 0.001478042 437.87 -1.740 0.3044 12
## BIM - NAS -2.033192e-03 0.002012710 1112.68 -1.010 0.7435 12
## CEI - CAT 6.708958e-04 0.001121386 322.76 0.598 0.9325 2
##
## coral_id = 101*:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -8.541967e-03 0.001930532 1293.68 -4.425 0.0001 1
## BIM - CAT -8.238266e-03 0.002060405 1095.77 -3.998 0.0004 1
## BIM - NAS -6.011276e-03 0.002157326 1183.96 -2.786 0.0277 12
## NAS - CEI -2.530691e-03 0.001288704 565.02 -1.964 0.2031 12
## NAS - CAT -2.226990e-03 0.001476169 435.71 -1.509 0.4332 12
## CEI - CAT 3.037014e-04 0.001118916 319.83 0.271 0.9930 2
##
## coral_id = 125:
## contrast estimate SE df t.ratio p.value .group
## BIM - CAT -8.737047e-03 0.001908460 1003.16 -4.578 <.0001 1
## BIM - CEI -8.639377e-03 0.001767457 1228.41 -4.888 <.0001 1
## BIM - NAS -5.372794e-03 0.002012710 1112.68 -2.669 0.0385 12
## NAS - CAT -3.364253e-03 0.001476169 435.71 -2.279 0.1045 12
## NAS - CEI -3.266583e-03 0.001288704 565.02 -2.535 0.0558 12
## CEI - CAT -9.766998e-05 0.001118916 319.83 -0.087 0.9998 2
##
## coral_id = 126*:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -4.520036e-03 0.001767457 1228.41 -2.557 0.0520 1
## BIM - CAT -4.316095e-03 0.001908460 1003.16 -2.262 0.1079 1
## BIM - NAS -2.628072e-03 0.002012710 1112.68 -1.306 0.5594 1
## NAS - CEI -1.891964e-03 0.001288704 565.02 -1.468 0.4576 1
## NAS - CAT -1.688023e-03 0.001476169 435.71 -1.144 0.6628 1
## CEI - CAT 2.039408e-04 0.001118916 319.83 0.182 0.9978 1
##
## coral_id = 133:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -1.210872e-02 0.001767457 1228.41 -6.851 <.0001 1
## BIM - NAS -7.473825e-03 0.002012710 1112.68 -3.713 0.0012 23
## BIM - CAT -6.650056e-03 0.001908460 1003.16 -3.485 0.0029 2
## NAS - CEI -4.634894e-03 0.001288704 565.02 -3.597 0.0020 2
## NAS - CAT 8.237699e-04 0.001476169 435.71 0.558 0.9443 3
## CEI - CAT 5.458664e-03 0.001118916 319.83 4.879 <.0001 4
##
## coral_id = 134:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -7.687183e-03 0.001767457 1228.41 -4.349 0.0001 1
## BIM - NAS -4.623339e-03 0.002012710 1112.68 -2.297 0.0993 123
## NAS - CEI -3.063844e-03 0.001288704 565.02 -2.377 0.0826 12
## BIM - CAT -1.600788e-03 0.001908460 1003.16 -0.839 0.8360 23
## NAS - CAT 3.022551e-03 0.001476169 435.71 2.048 0.1723 34
## CEI - CAT 6.086395e-03 0.001118916 319.83 5.440 <.0001 4
##
## coral_id = 42:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -3.459071e-03 0.002175325 1344.69 -1.590 0.3846 1
## BIM - CAT -3.075479e-03 0.002291365 1194.37 -1.342 0.5361 1
## BIM - NAS -2.453453e-03 0.002378894 1257.61 -1.031 0.7311 1
## NAS - CEI -1.005618e-03 0.001288704 565.02 -0.780 0.8634 1
## NAS - CAT -6.220260e-04 0.001476169 435.71 -0.421 0.9748 1
## CEI - CAT 3.835923e-04 0.001118916 319.83 0.343 0.9861 1
##
## coral_id = 43:
## contrast estimate SE df t.ratio p.value .group
## BIM - CAT -1.051001e-02 0.001908460 1003.16 -5.507 <.0001 1
## BIM - CEI -8.109500e-03 0.001804798 1197.32 -4.493 <.0001 12
## BIM - NAS -5.816761e-03 0.002012710 1112.68 -2.890 0.0205 23
## NAS - CAT -4.693254e-03 0.001476169 435.71 -3.179 0.0086 23
## CEI - CAT -2.400514e-03 0.001177016 329.66 -2.039 0.1757 23
## NAS - CEI -2.292739e-03 0.001339459 554.84 -1.712 0.3185 3
##
## coral_id = 44:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -6.570596e-03 0.001767457 1228.41 -3.718 0.0012 1
## BIM - CAT -6.399821e-03 0.001908460 1003.16 -3.353 0.0046 1
## BIM - NAS -3.847552e-03 0.002012710 1112.68 -1.912 0.2237 12
## NAS - CEI -2.723044e-03 0.001288704 565.02 -2.113 0.1502 12
## NAS - CAT -2.552270e-03 0.001476169 435.71 -1.729 0.3099 12
## CEI - CAT 1.707746e-04 0.001118916 319.83 0.153 0.9987 2
##
## coral_id = 45:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -5.408266e-03 0.001930532 1293.68 -2.801 0.0265 1
## BIM - CAT -3.818640e-03 0.002060405 1095.77 -1.853 0.2491 12
## BIM - NAS -3.134460e-03 0.002157326 1183.96 -1.453 0.4666 12
## NAS - CEI -2.273806e-03 0.001288704 565.02 -1.764 0.2917 12
## NAS - CAT -6.841797e-04 0.001476169 435.71 -0.463 0.9669 12
## CEI - CAT 1.589626e-03 0.001118916 319.83 1.421 0.4873 2
##
## coral_id = 49:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -5.830843e-03 0.001774853 1222.36 -3.285 0.0058 1
## BIM - CAT -4.239750e-03 0.001908460 1003.16 -2.222 0.1181 12
## NAS - CEI -3.827076e-03 0.001298830 562.87 -2.947 0.0176 123
## NAS - CAT -2.235982e-03 0.001476169 435.71 -1.515 0.4295 12
## BIM - NAS -2.003768e-03 0.002012710 1112.68 -0.996 0.7520 23
## CEI - CAT 1.591094e-03 0.001130564 321.89 1.407 0.4956 3
##
## coral_id = 51:
## contrast estimate SE df t.ratio p.value .group
## BIM - CAT -2.998129e-03 0.001908460 1003.16 -1.571 0.3958 1
## BIM - NAS -1.849198e-03 0.002012710 1112.68 -0.919 0.7948 1
## CEI - CAT -1.515563e-03 0.001118916 319.83 -1.354 0.5289 1
## BIM - CEI -1.482566e-03 0.001767457 1228.41 -0.839 0.8359 1
## NAS - CAT -1.148930e-03 0.001476169 435.71 -0.778 0.8643 1
## NAS - CEI 3.666326e-04 0.001288704 565.02 0.284 0.9920 1
##
## coral_id = 52:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -6.127458e-03 0.002012710 1112.68 -3.044 0.0127 1234
## BIM - CEI -6.070006e-03 0.001767457 1228.41 -3.434 0.0034 12
## BIM - CAT -5.838338e-03 0.001908460 1003.16 -3.059 0.0122 1 3
## NAS - CEI 5.745148e-05 0.001288704 565.02 0.045 1.0000 34
## CEI - CAT 2.316682e-04 0.001118916 319.83 0.207 0.9969 2 4
## NAS - CAT 2.891196e-04 0.001476169 435.71 0.196 0.9973 2 4
##
## coral_id = 53:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -2.285055e-03 0.001767457 1228.41 -1.293 0.5677 1
## BIM - NAS -1.622877e-03 0.002012710 1112.68 -0.806 0.8515 1
## NAS - CEI -6.621783e-04 0.001288704 565.02 -0.514 0.9558 1
## BIM - CAT -3.422904e-04 0.001908460 1003.16 -0.179 0.9980 1
## NAS - CAT 1.280586e-03 0.001476169 435.71 0.868 0.8216 1
## CEI - CAT 1.942764e-03 0.001118916 319.83 1.736 0.3066 1
##
## coral_id = 54:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -2.480340e-03 0.002012710 1112.68 -1.232 0.6064 1
## BIM - CAT -2.113925e-03 0.001908460 1003.16 -1.108 0.6849 1
## CEI - CAT -1.084685e-03 0.001118916 319.83 -0.969 0.7670 1
## BIM - CEI -1.029240e-03 0.001767457 1228.41 -0.582 0.9374 1
## NAS - CAT 3.664155e-04 0.001476169 435.71 0.248 0.9946 1
## NAS - CEI 1.451100e-03 0.001288704 565.02 1.126 0.6736 1
##
## coral_id = 55:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -4.557350e-03 0.001767457 1228.41 -2.578 0.0492 1
## BIM - CAT -4.181205e-03 0.001908460 1003.16 -2.191 0.1264 1
## BIM - NAS -3.443171e-03 0.002012710 1112.68 -1.711 0.3185 1
## NAS - CEI -1.114179e-03 0.001288704 565.02 -0.865 0.8231 1
## NAS - CAT -7.380334e-04 0.001476169 435.71 -0.500 0.9590 1
## CEI - CAT 3.761456e-04 0.001118916 319.83 0.336 0.9869 1
##
## coral_id = 94:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -6.464016e-03 0.002012710 1112.68 -3.212 0.0074 1
## BIM - CEI -4.192770e-03 0.001767457 1228.41 -2.372 0.0830 12
## BIM - CAT -2.390136e-03 0.001908460 1003.16 -1.252 0.5936 123
## CEI - CAT 1.802634e-03 0.001118916 319.83 1.611 0.3738 234
## NAS - CEI 2.271246e-03 0.001288704 565.02 1.762 0.2927 34
## NAS - CAT 4.073880e-03 0.001476169 435.71 2.760 0.0306 4
##
## coral_id = 95:
## contrast estimate SE df t.ratio p.value .group
## BIM - CEI -4.120689e-03 0.001773336 1229.64 -2.324 0.0932 1
## BIM - NAS -2.949164e-03 0.002012710 1112.68 -1.465 0.4590 12
## NAS - CEI -1.171526e-03 0.001296756 572.66 -0.903 0.8030 12
## BIM - CAT -9.607434e-04 0.001908460 1003.16 -0.503 0.9583 12
## NAS - CAT 1.988420e-03 0.001476169 435.71 1.347 0.5335 12
## CEI - CAT 3.159946e-03 0.001128181 327.57 2.801 0.0275 2
##
## coral_id = 96:
## contrast estimate SE df t.ratio p.value .group
## BIM - NAS -7.005596e-03 0.002012710 1112.68 -3.481 0.0029 12
## BIM - CEI -6.620238e-03 0.001767457 1228.41 -3.746 0.0011 1
## BIM - CAT -4.099512e-03 0.001908460 1003.16 -2.148 0.1388 12
## NAS - CEI 3.853579e-04 0.001288704 565.02 0.299 0.9907 23
## CEI - CAT 2.520726e-03 0.001118916 319.83 2.253 0.1115 3
## NAS - CAT 2.906084e-03 0.001476169 435.71 1.969 0.2015 3
##
## P value adjustment: tukey method for comparing a family of 4 estimates
## P value adjustment: tukey method for comparing a family of 6 estimates
## significance level used: alpha = 0.05
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